I’m a B.Sc. Computer Science graduate from the University of Victoria, and I focus on translating complex data and AI behavior into reliable, human-readable outcomes. Through coursework like Data Visualization and Analysis, Database Systems, and Artificial Intelligence, I built a strong foundation for turning raw information into actionable insight.
In my freelance AI work, I evaluate and refine AI-generated code for truthfulness, instruction following, and readability—then use those findings to improve training datasets. I also support multi-turn AI image editing by processing prompts and guiding changes such as removing, masking, and restoring images.
I’ve expanded into search quality work by auditing music datasets to verify search accuracy and score query-to-result relevance across categories. I bring a careful, verification-first mindset to ensure outputs are correct, useful, and consistent.
My projects reflect the same drive for clarity and impact: I analyzed solar power generation across 139 nations and built an interactive D3 visualization; I developed a Python-to-Power BI pipeline for “The Fight Game” to reveal player archetypes, risk patterns, and engagement trends; and I implemented pathfinding approaches (A-Star, Greedy, Uniform-Cost, Breadth-First) for an efficient grid traversal problem.
Canada